Connect Google Search Console to Cursor
Connect your Google Search Console data to Cursor with the Windsor.ai connector, so the dashboards and scripts Cursor builds use your real query, page, device, and sitemap data.
Ask Cursor for a striking distance finder, a keyword cannibalization check, or a branded versus non-branded dashboard built on your own Search Query, Page, Position, and CTR fields.
Forget CSVs. Stop copy/paste. Connect in minutes. No code required.
Write SEO scripts and dashboards on your real search data
Cursor works inside your project, so what it builds from your Google Search Console data stays with you as files, scripts, and canvases you can rerun. Key use cases:
Find queries that sit one push from page one
Cursor can filter Search Query rows with strong Impressions and a Position just outside the top results, then write a prioritized list of pages to improve.
Catch pages competing for the same query
Ask for a report that finds Search Query values served by more than one Page, so overlapping pages are fixed before they split clicks.
Separate brand demand from discovery
Using Branded vs Non-Branded, Cursor can build a canvas that shows whether organic growth comes from people who already know you or from new search demand.
Keep a technical check on file
Cursor can read Sitemaps fields for Errors and Warnings and write a short script that tells you when a sitemap needs attention.
Using Windsor.ai to connect data from Google Search Console to Cursor
Without Windsor.ai, Cursor builds on placeholder numbers or on CSV exports you paste into the project. Windsor MCP gives Cursor live Google Search Console data with the real field names, so the dashboards and scripts it writes match your account.
Connect in minutes, then ask Cursor to build something with your Google Search Console data.
How to connect Google Search Console to Cursor with Windsor.ai
Explore our video tutorial and a step-by-step guide to add Windsor MCP to Cursor and start building on your Google Search Console data.
Add Windsor MCP in Cursor
Open Settings in Cursor Desktop and go to Tools & Integrations → New MCP Server. When mcp.json opens, add Windsor:
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/"
}
}
}
Authenticate with Windsor.ai
Save mcp.json. Windsor appears in your MCP list and asks you to authenticate. Click Authenticate and sign in to Windsor.ai in the browser.
Ask Cursor to build on your Google Search Console data
Open a chat in your project and ask about your Google Search Console data.
FAQs
What Google Search Console data can Cursor use?
Windsor.ai gives Cursor access to 50+ Google Search Console fields. These are some of the groups; the Google Search Console field reference lists all of them:
- Performance: Clicks, Impressions, CTR, Position.
- Queries and pages: Search Query, Page, Page Path, Words in Query, Branded vs Non-Branded.
- Segments: Device, Country Name, Search type, Search Appearance.
- Sitemaps: Path, Submitted, Errors, Warnings, Last downloaded.
- Time: Date.
What prompts can I use to build with Google Search Console data in Cursor?
Cursor works best when you ask it to build something with a clear output. Each of these names the fields to use and the file or canvas you want back:
-
Pull Search Query, Page, Clicks, Impressions, CTR, and Position for the last 90 days. List queries with at least 300 Impressions, an average Position between 8 and 20, and a CTR below the site average for that position band. Group them by Page, and for each page write the title and heading changes I should test first.
-
Pull Search Query, Page, Clicks, and Impressions for the last 90 days. Find queries where two or more Page values received Impressions, show how Clicks split between them, and write a cannibalization report that names the page I should keep as the main one and what to do with the others.
-
Build a canvas of Clicks, Impressions, and CTR split by Branded vs Non-Branded for the last 6 months by month. Add a short read on whether growth is coming from discovery or from brand demand, and mark any month where the split changed by more than 10 points.
-
Pull Search Query, Device, Clicks, CTR, and Position for the last 60 days. Write a script that finds queries whose Position is similar on desktop and mobile but whose CTR is much lower on mobile, and save mobile_ctr_gap.csv with the pages involved.
-
Pull Page Path, Clicks, and Impressions for the last 28 days and for the 28 days before. Flag pages that lost more than 30% of Clicks, then show the Search Query values that drove most of the loss so I can see whether it is a ranking drop or lower demand.
-
Pull Path, Submitted, Errors, Warnings, and Last downloaded for all sitemaps. Write a short check that lists sitemaps with errors or warnings or a stale Last downloaded date, and what to inspect first for each.
Can Cursor turn Google Search Console data into dashboards I can share?
Yes. Cursor can render a dashboard, analysis, or report as a canvas next to the chat, and it saves the canvas so you can reopen and rerun it later with fresh data. On paid Cursor plans you can publish a canvas to a read-only share link for teammates. See the Cursor canvas documentation for the current plan requirements.
Can Cursor change my Google Search Console account?
No. With this setup Cursor reads your Google Search Console data through Windsor MCP. It can write scripts, files, and reports in your project, but it does not modify, update, or affect your connected accounts.
Can I combine Google Search Console data with other sources in Cursor?
Yes. Windsor.ai supports 350+ data sources, so you can connect Google Search Console alongside tools such as GA4, Google Ads, or HubSpot and ask Cursor to work with them together. For example, ask Cursor to join Search Console Page Path with GA4 Landing page, Key events, and Total revenue, then write a report of pages that earn many Clicks but produce no key events.
How do I add Windsor MCP to Cursor?
Open Settings in Cursor Desktop, go to Tools & Integrations → New MCP Server, and add Windsor to mcp.json:
{
"mcpServers": {
"windsor": {
"url": "https://mcp.windsor.ai/"
}
}
}
Save the file, click Authenticate next to Windsor in your MCP list, and sign in to Windsor.ai in the browser.
Do I need to code to connect Google Search Console to Cursor?
No. The connection takes no code: connect Google Search Console in Windsor.ai, add Windsor to Cursor’s MCP settings, and sign in. After that you describe what you want in plain language, and Cursor writes and runs the code. You can read and edit everything it produces.
How much does it cost to integrate Google Search Console with Cursor using Windsor.ai?
The free forever plan covers 1 data source, so connecting Google Search Console on its own costs nothing and needs no credit card. Combining Google Search Console with other sources, such as GA4 or Google Ads, needs a paid plan: $19/month for 3 sources or $99/month for 7. Cursor is billed separately by Cursor. See the pricing page.
Do you have helpful links to get started with integrating Google Search Console and Cursor using Windsor.ai?
Yes, we have helpful resources to help you get started. You can explore our official documentation for Google Search Console to Cursor integration with Windsor.ai:
Tired of manual Google Search Console data exports? Try Windsor.ai today to build on live data

